![]() |
Modelling dissolved oxygen and biochemical oxygen demand using data-driven techniques
Pali Sahu, Shreenivas N Londhe, Preeti S Kulkarni
Environmental Engineering Research. 2023;28(3):210541 Published online 2022 May 11 DOI: https://doi.org/10.4491/eer.2021.541
|
Citations to this article as recorded by
Predicting Urban Vartur Lake Health: A Multi-context Machine Learning Approach to Water Quality Assessment
Pralhad P. Teggi, Bharathi Malakreddy, Santhi Natarajan, Madhumati S. Dhaduti, N. Harivinod
Journal of The Institution of Engineers (India): S.2025;[Epub] CrossRef Towards seasonal-based assessment of machine learning models in river dissolved oxygen simulations with different flow ranges
Naser Shiri, Ozgur Kisi, Sepideh Karimi, Jalal Shiri
ISH Journal of Hydraulic Engineering.2025; : 1. CrossRef Enhancing Coastal Management through the Design and Development of an In Situ Water Quality Monitoring System
Perry Neil J. Fernandez, Elaine Grace B. Fernandez, Jumar G. Cadondon, Rodelio F. Subade
Journal of Coastal Research.2024;[Epub] CrossRef SPATIOTEMPORAL VARIATION EVALUATION OF BIOCHEMICAL OXYGEN DEMAND (BOD) IN DNIPRO RIVER
M. Yu. Hryha
Hydrology, hydrochemistry and hydroecology.2024; (2 (72)): 29. CrossRef Development of water quality prediction model for water treatment plant using artificial intelligence algorithms
Hwisu Shin, Yonghoon Byun, Sangwook Kang, Hitae Shim, Sueyeun Oak, Youngsuk Ryu, Hansoo Kim, Nahmchung Jung
Environmental Engineering Research.2023; 29(2): 230198. CrossRef
|